Results 131 to 140 of about 7,427,585 (199)

Automatic extraction of quantitative data from ClinicalTrials.gov to conduct meta-analyses. [PDF]

open access: yesJ Clin Epidemiol, 2019
Pradhan R   +5 more
europepmc   +1 more source

Objective, Quantitative, Data-Driven Assessment of Chemical Probes. [PDF]

open access: yesCell Chem Biol, 2018
Antolin AA   +5 more
europepmc   +1 more source
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Quantitative Data Analysis

2021
This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests.
  +4 more sources

Quantitative data description

Proceedings of the 1975 ACM SIGMOD international conference on Management of data - SIGMOD '75, 1975
Quantitative descriptions of data populations have played an important role in the data base design process, particularly where simulation has been employed. The new levels of fidelity and representation-independence made possible by recent advances in data description languages warrant a renewed interest in this technique.
L. S. Schneider, C. R. Spath
openaire   +1 more source

Quantitative Data Analysis

2022
Abstract Many people tend to privilege evidence generated from quantitative research over, for example, qualitative research. Politicians and the public often demand “hard evidence” to support decisions. The descriptor ‘hard” often implies evidence generated by quantitative research. Although quantitative research and methods can provide
Linnea L. Rademaker, Elena Y. Polush
openaire   +1 more source

Quantitative Data in Neuroanatomy

1970
Publisher Summary This chapter describes the importance of quantitative methods in neuroanatomy, outlines the history and basis of modern methods, and discusses the methods to avoid errors and use of various instrumentsThe three integral methods are: the measurement of volume ratio by point sampling, the measurement of surface per volume, and of ...
openaire   +2 more sources

Representing Quantitative Data

2020
In Chapter 2, we learned about four basic analytical data types. Quantitative data – interval and ratio – are among the most common types and are often the most problematic due to the great variety of measurement units and size ranges. Units vary by knowledge domain, usage conventions, national and historical origins, and formal or organizational ...
openaire   +1 more source

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